Startup profile · funding coverage
Ocient funding, valuation and investors
Enterprise data and analytics platform for continuously ingesting and querying petabyte-scale datasets, with governed AI-agent access and industry-specific solutions.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series C
$100M · November 5, 2026
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$272M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
growth · Chicago, IL, USA
Investors in latest funding
Lead: BOKA Capital , OCA Ventures
Other: Greycroft , In-Q-Tel , Blue Bear Capital , Buoyant Ventures
Overview
Founded in 2016 in Chicago by Chris Gladwin, Joseph Jablonski and George Kondiles, Ocient offers OcientAIQ for high-velocity data ingestion, governed analytics and industry-specific AI workloads. The company announced a $100M Series C close on November 5, 2026, co-led by BOKA Capital and OCA Ventures, bringing reported lifetime financing to approximately $260M.
A $132M Series B was completed by fall 2024 and publicly discussed in April 2025; it is historical cumulative Series B financing, not an additional $132M raised in 2025.
Why Ocient is interesting
Closed a $100M Series C on November 5, 2026, co-led by BOKA Capital and OCA Ventures. The $260M total funding cited by Ocient is cumulative, and earlier Series B extensions must not be counted twice. Its CPU-based enterprise pricing and governance architecture differ from per-query cloud warehouses.
Product & use cases
Illustrative buyer tour for a telecom security analytics team: (1) map incoming high-volume structured and semi-structured network event feeds and access policies; (2) ingest and retain full-resolution data in OcientAIQ, using deployment on premises, the provider's cloud or a chosen cloud; (3) map query roles, audit lineage and approved AI-agent permissions; (4) analysts or agents request searches over the full historical dataset; (5) the analytics engine executes governed queries and returns traceable results rather than passing an unconstrained sample to an LLM; (6) evaluate query latency, infrastructure costs, access logs and failure recovery against an incumbent warehouse. Not an independent hands-on test. Pricing is negotiated, and claimed 60–80% TCO savings are vendor assertions, not guaranteed.
- Telecom network analytics and lawful data retrieval with a high-volume retention requirement.
- Cybersecurity event search against full-fidelity historical logs.
- Adtech or financial services analytics requiring always-on, low-latency queries over large data.
- Defense and national security analytics with data governance and deployment controls.
Key facts
- November 5, 2026 company-announced closed Series C: $100M, co-led by BOKA Capital and OCA Ventures; roughly $260M cumulative funding; valuation not disclosed.
- January 2021: $40M Series B; April 2025 company report says the full $132M Series B concluded in fall 2024, with $159.4M lifetime financing then. Do not double-count round extensions.
- Ocient projects 2026 revenue to more than triple; this is forward-looking, not audited realized revenue.
- Pricing options disclosed: CPU-oriented annual/multi-year subscription, on-premises perpetual license plus support, or bundled managed solutions. Dollar prices remain quote-only.
Funding history (newest first)
Series C
2026-11-05 $100M- BOKA Capital (lead)
- OCA Ventures (lead)
- Greycroft (participant)
- In-Q-Tel (participant)
- Blue Bear Capital (participant)
- Buoyant Ventures (participant)
Source: Read source · ocient.com
Series B completed by fall 2024 (cumulative across Series B)
2024 $132M (total Series B, not incremental 2025 capital)Source: Read source · ocient.com
Series B initial close
2021-01-25 $40M- OCA Ventures (lead)
- Greycroft (lead)
Source: Read source · ocient.com
Competitive landscape
Edge: Ocient positions its compute-adjacent storage, parallel execution and governance as a lower-data-movement option than conventional warehouse pipelines for continuous petabyte-scale queries. The asserted 60–80% cost reductions depend on workload and require independent benchmarking.
Ocient charges by CPU-oriented enterprise license rather than metered per-query billing, with perpetual on-premises option. Cost advantages need apples-to-apples benchmarks on ingest, retention, joins, concurrency, availability and operational support. Product claims about traceable agent answers do not prove every deployed AI agent is error-free.
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Snowflake direct
Cloud warehouse and AI data platform, with different compute/usage economics.
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Databricks direct
Lakehouse and AI analytics with SQL and ML workloads; compare total operations and integration cost.
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ClickHouse direct
Columnar analytical engine well suited to fast event analytics; compare operational footprint and data fidelity.
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Starburst alternative
Federated SQL across existing systems; less emphasis on owning a petabyte-scale unified engine.
Market / IPO context
Editorial / static context — not a live quote.
FAQs about Ocient
Practical answers founders, operators, and investors typically search for.
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